In this comprehensive course, students will learn the fundamentals of data science and machine learning, including data preprocessing, visualization, modeling and evaluation. Through hands-on exercises and challenging projects, students will gain practical experience in extracting insights from complex data sets and building intelligent systems that can learn and adapt.
Enroll in the course and become a data scientist today!
Tools & Technologies Covered
Python, Pandas Seaborn, Hadoop, Spark, NumPy, Matplotlib , SciKit and TensorflowWhat you’ll learn
- Programming with Python
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
- Connect Python to SQL
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
- Machine Learning with SciKit Learn, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Natural Language Processing
- Neural Nets and Deep Learning
- Support Vector Machines and much, much more!
-
- Python Environment Setup Unlimited
- Jupyter Notebook Unlimited
- Virtual environments Unlimited
-
- Introduction to Python Unlimited
- Python Data Types Unlimited
- Operators and Expression Unlimited
- Loops Control Flow Unlimited
- Dictionary Unlimited
- File Handling Unlimited
- Math Modules Unlimited
- Python exercises Unlimited
- Introduction to NumPy Unlimited
- NumPy Arrays Unlimited
- Array Indexing Unlimited
- NumPy Operations Unlimited
- NumPy Exercises Unlimited
- Introduction to Matplotlib Unlimited
- Matplotlib Operations Unlimited
- Matplotlib Excercises Unlimited
- Introduction to geographical plotting Unlimited
- Choropleth Maps Unlimited
- Choropleth Excercises Unlimited
- Linear Regression Theory Unlimited
- Model_Selection update for SciKit Unlimited
- Linear Regression with Python Unlimited
- Linear Regression Project Overview & exercise. Unlimited
- KNN Theory Unlimited
- KNN with Python Unlimited
- KNN exercise Unlimited
- Introduction to Neural Networks & Deep Learning Unlimited
- Setting up Tensorflow Unlimited
- Perception Model Unlimited
- Neural Networks , Activations Functions Unlimited
- Multi-Class Classification considerations Unlimited
- Cost functions and gradient descent Unlimited
- Backpropagation Unlimited
- Programing with Tensarflow Unlimited
- Exercises Unlimited
Enter your information :
